Spatial Justice

Marginalized communities around the world are disproportionately impacted by the distribution of unjust infrastructure and environmental conditions. However, through distributive, procedural, and restorative frameworks, it is possible to teach spatial designers to challenge, inform, and reshape the world toward a more just and equitable future. This chapter delves into the various themes developed as part of the “Spatial Justice” professional elective at the University of Nebraska-Lincoln, which offers an interdisciplinary perspective on urban studies, urban design, and the roles that social, environmental, and ecological justice play in designing a more just and equitable urbanity. In this course, students explore critical urban theory, justice, counter cartographies, design activism, participatory systems, and spatial agency using alternative mapping methodologies to render legible latent sociospatial asymmetries.

SEEFELDT, Douglas & THOMAS, William G. DH Project: Digital History Project. Lincoln. University of Nebraska-Lincoln, 2006-2014.

En este documento se analizan las diferentes funcionalidades y actividades recogidas en la página web del proyecto desarrollado por la Universidad de Nebraska-Lincoln denominado “Digital History Project” y de su posible interés para expertos e interesados en el aprendizaje y aplicación de las nuevas tecnologías en el estudio de la Historia.

Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping

Cosegmentation is a newly emerging computer vision technique used to segment an object from the background by processing multiple images at the same time. Traditional plant phenotyping analysis uses thresholding segmentation methods which result in high segmentation accuracy. Although there are proposed machine learning and deep learning algorithms for plant segmentation, predictions rely on the specific features being present in the training set. The need for a multi-featured dataset and analytics for cosegmentation becomes critical to better understand and predict plants’ responses to the environment. High-throughput phenotyping produces an abundance of data that can be leveraged to improve segmentation accuracy and plant phenotyping. This paper introduces four datasets consisting of two plant species, Buckwheat and Sunflower, each split into control and drought conditions. Each dataset has three modalities (Fluorescence, Infrared, and Visible) with 7 to 14 temporal images that are collected in a high-throughput facility at the University of Nebraska-Lincoln. The four datasets (which will be collected under the CosegPP data repository in this paper) are evaluated using three cosegmentation algorithms: Markov random fields-based, Clustering-based, and Deep learning-based cosegmentation, and one commonly used segmentation approach in plant phenotyping. The integration of CosegPP with advanced cosegmentation methods will be the latest benchmark in comparing segmentation accuracy and finding areas of improvement for cosegmentation methodology.

Studying acoustical capacity and quality of verbal communication in occupied restaurants

Sound level data and occupancy data has been logged in five restaurants by the research team at the University of Nebraska - Lincoln. Sound levels and Occupancy at 10 second intervals were documented over time periods of two to four hours during active business hours. Noise levels were logged with dosimeters distributed throughout each restaurant, and occupancy was obtained from images recorded by infrared cameras. Previous analyses of this data have focused on average sound levels and statistical metrics, such as L10 and L90 values. This presentation focuses on each restaurant's Acoustical Capacity and Quality of Verbal Communication, as introduced by Rindel (2012). Acoustical Capacity is a metric describing the maximum number of persons for reasonable communication in a space, calculated from the unoccupied reverberation time and the volume of the space. Quality of Verbal Communication is a metric describing the ease with which persons in the space can communicate at a singular point in time, depending on the reverberation time, the volume of the space, and the number of occupants in the space.

University of Nebraska unmanned aerial system (UAS) profiling during the LAPSE-RATE field campaign

This paper describes the data collected by the University of Nebraska-Lincoln (UNL) as part of the field deployments during the Lower Atmospheric Process Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) flight campaign in July 2018. The UNL deployed two multirotor unmanned aerial systems (UASs) at multiple sites in the San Luis Valley (Colorado, USA) for data collection to support three science missions: convection initiation, boundary layer transition, and cold air drainage flow. We conducted 172 flights resulting in over 21 h of cumulative flight time. Our novel design for the sensor housing onboard the UAS was employed in these flights to meet the aspiration and shielding requirements of the temperature and humidity sensors and to separate them from the mixed turbulent airflow from the propellers. Data presented in this paper include timestamped temperature and humidity data collected from the sensors, along with the three-dimensional position and velocity of the UAS. Data are quality-controlled and time-synchronized using a zero-order-hold interpolation without additional post-processing. The full dataset is also made available for download at https://doi.org/10.5281/zenodo.4306086 (Islam et al., 2020).

77 Evaluation of Models Used to Predict Dry Matter Intake in Forage-Based Diets

Data from experiments conducted at the University of Nebraska-Lincoln were pooled to compare predicted and observed dry matter intake (DMI) of growing cattle consuming foraged-based diets (corn silage, grass, alfalfa, or sorghum-hay) to determine the accuracy of current modeling systems. Experiments (n = 22) were a minimum of 84 days and included individually fed calves using the Calan gate system with 8 to 12 calves per treatment mean or pen-fed calves with 8 to 12 head per pen. Average body weight (BW) of calves ranged from 235 to 397 kg with average daily gain (ADG) between 0.16 and 1.65 kg. Cattle were fed ad libitum and mid-point BW and ADG were entered into the Beef Cattle Nutrient Requirements Model (2016) to determine predicted DMI. Simple regression was used to compare predicted and observed DMI to determine the accuracy of the prediction model. Ninety-three treatment means were evaluated and were separated into three categories: hay-based diets (n = 24), hay-based diets with distillers grains (n = 31), and corn silage-based diets (n =38). The model for observed versus predicted DMI was significant (P < 0.05; R2 = 0.09) when comparing all means but had a poor R2. The model was the best at predicting DMI for forage-based diets (P < 0.08; R2 = 0.22). Observed and predicted DMI were regressed along TDN values, calculated using book values and digestion studies. As TDN increased, observed DMI increased linearly (P < 0.01) and predicted DMI had a quadratic response (P < 0.01), increasing up to 63% and then decreasing with increasing TDN. The model over predicted DMI intake for TDN < 63% and under predicted DMI in forage-based diets greater than 63% TDN. Further development of the current modeling system through addition of intake data from forage fed growing cattle is needed

Wimmin in the Mass Media

Introduction to the 40th Anniversary Edition: Wimmin in the Mass Media and Centennial College, Looking Backwards • Mary Jo Deegan WIMMIN IN THE MASS MEDIA: Articles Collected at the Centennial Education Program, Fall 1980 Introduction: Wimmin and the Mass Media — Construction of the Self • Mary Jo Deegan and Terry Nygren Examining the Top Ten, or Why Those Songs Make the Charts • Jane Pemberton Images of Women in Rock Music: Analysis of B-52’s and Black Rose• Sheila M. Krueger Women in Sitcoms: “I Love Lucy”• Nancy Grant-Colson Horatio Alger is Alive and Well and Masquerading as a Feminist, or Where Are the Magazines for the Real Working Women? • Teresa Holder Freudian Tradition Versus Feminism in Science Fiction • Karen Keller Cover design by Becky Ross. I hope that reprinting this booklet will serve as a small material document of the educational community many of us enjoyed with this program. It is also a reminder of an era and political attempt to broaden the scope of traditional formats at the University of Nebraska-Lincoln. Centennial created a short, viable community that is remembered here

S Is for Sandhill: A Crane Alphabet

This is a book of cranes, from A to Z, written and illustrated by the world’s foremost authority on the 15 species of these wonderful and ancient birds. It is a book for all ages, and for all who love and marvel at the beauty, order, and variety of the natural world. Cranes exhibit complex behavior, pair-bonding, and fascinating social interactions. They migrate huge distances, crossing continents, oceans, and mountains between their nesting and wintering areas. Seven of the world’s 15 crane species are listed as “vulnerable,” three as “endangered,” one as “critically endangered,” and only three as of “least concern.” Conservation efforts have brought back whooping cranes from the brink of extinction, but the threats to all cranes posed by habitat reduction and climate change are real. This is an opportunity to share the wonder of these magnificent birds with young and old, and to appreciate their gift to us all. Paul Johnsgard is emeritus professor in the School of Biological Sciences at the University of Nebraska–Lincoln. He is the author of roughly 100 books of ornithology and natural history and is a recognized champion of conservation and environmental preservation.

University of Nebraska UAS profiling during LAPSE-RATE

This paper describes the data collected by the University of Nebraska-Lincoln (UNL) as part of the field deployment during the Lower Atmospheric Process Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) flight campaign in July 2018. UNL deployed two multirotor unmanned aerial systems (UASs) at various sites in the San Luis Valley (Colorado, USA) for data collection in support of three science missions: convection-initiation, boundary layer transition, and cold air drainage flow. We conducted 172 flights resulting in over 1300 minutes of cumulative flight time. Our novel design for the sensor housing onboard the UAS was employed in these flights to meet the aspiration and shielding requirements of the temperature/humidity sensors, and attempt to separate them from the mixed turbulent airflow from the propellers. Data presented in this paper include time-stamped temperature and humidity data collected from the sensors, along with the three-dimensional position and velocity of the UAS. Data are quality controlled and time-synchronized using a zero-order-hold interpolation without additional post processing. The full dataset is also made available for download at (https://doi.org/10. 5281/zenodo.4306086 (Islam et al. , 2020)).